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ALLSTAT  September 2011

ALLSTAT September 2011

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Subject:

JOB Reminder : PhD position at the University of Nottingham

From:

Theoodore Kypraios <[log in to unmask]>

Reply-To:

Theoodore Kypraios <[log in to unmask]>

Date:

Tue, 6 Sep 2011 11:48:39 +0300

Content-Type:

text/plain

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PhD Research Project in Veterinary Epidemiology -- Mastitis in Dairy Cows.

University of Nottingham
School of Veterinary Medicine and Science


Background:
The School of Veterinary Medicine and Science at the University of 
Nottingham is the first brand new, purpose-built veterinary school in 
the UK for over 50 years  and it is our intent to make significant 
leading contributions to both veterinary research and teaching within 
the context of valid relevance and application to the wider veterinary 
profession.

Research is central to the activities of the School, both in terms of
maintaining ourselves at the forefront of national and international 
efforts in veterinary medicine but also as an integral part of the 
training and education for undergraduate and postgraduate students. In 
the 2008 Research Assessment Exercise, the School of Veterinary Medicine 
and Science joint submission with the School of Biosciences was ranked 
first in the country for the power of its research with 95% of its 
activities classified at an international standard.

Project Description:
We are looking for a motivated, high calibre graduate with an interest 
in dairy cows to complete a four-year BBSRC CASE PhD studentship 
entitled “A Bayesian decision-theoretic framework to evaluate and 
optimize decision making for mastitis control in the UK Mastitis Control 
Scheme”. The position is available from 1st October 2011, and the 
successful candidate will join an outstanding research team in 
quantitative dairy science at the School of Veterinary Medicine
and Science, University of Nottingham. The studentship is supported by 
an industrial partner, DairyCo.

The research will use data from the current national mastitis control 
scheme (DairyCo Mastitis Control Plan) to evaluate the efficacy of 
different management controls in different farm situations. A Bayesian 
framework will be used to allow synthesis of multiple sources of 
information and to investigate uncertainty in the cost benefit of 
interventions under different management scenarios. The successful 
candidate will receive training in specific mathematical elements as 
well as generic research methods but an enthusiasm for learning and 
applying quantitative techniques is essential.

In year 3 of the 4 year study period, the successful applicant will work 
directly with our industrial partner, DairyCo, for a six month period. 
During this time, experience will be gained of commercial research and 
development, knowledge transfer and marketing. Training will include 
interpersonal and communication skills, leadership skills and group 
presentations.

Funding Notes:
A background of veterinary science, animal science or applied statistics 
would be advantageous, but applications are welcome from candidates from 
related disciplines. A minimum 2.1 degree classification or equivalent 
is required.

Informal enquiries may be addressed to the principal supervisor: Prof 
Martin Green [log in to unmask]

Candidates should apply online and include a CV. Any queries regarding 
the application process should be addressed to Helena Percival, 
Postgraduate Admissions Officer, (email: [log in to unmask])

The studentship is funded by an augmented tax-exempt stipend of 
£16,051pa (£23,470pa for veterinary graduates) for four years.

There are potential funding restrictions for non-EU students.


-- 
Dr Theodore Kypraios
Lecturer in Statistics @ University of Nottingham
http://www.maths.nott.ac.uk/~tk

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